| Literature DB >> 23129055 |
Roderick Card1, Jiancheng Zhang, Priya Das, Charlotte Cook, Neil Woodford, Muna F Anjum.
Abstract
A microarray capable of detecting genes for resistance to 75 clinically relevant antibiotics encompassing 19 different antimicrobial classes was tested on 132 Gram-negative bacteria. Microarray-positive results correlated >91% with antimicrobial resistance phenotypes, assessed using British Society for Antimicrobial Chemotherapy clinical breakpoints; the overall test specificity was >83%. Microarray-positive results without a corresponding resistance phenotype matched 94% with PCR results, indicating accurate detection of genes present in the respective bacteria by microarray when expression was low or absent and, hence, undetectable by susceptibility testing. The low sensitivity and negative predictive values of the microarray results for identifying resistance to some antimicrobial resistance classes are likely due to the limited number of resistance genes present on the current microarray for those antimicrobial agents or to mutation-based resistance mechanisms. With regular updates, this microarray can be used for clinical diagnostics to help accurate therapeutic options to be taken following infection with multiple-antibiotic-resistant Gram-negative bacteria and prevent treatment failure.Entities:
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Year: 2012 PMID: 23129055 PMCID: PMC3535955 DOI: 10.1128/AAC.01223-12
Source DB: PubMed Journal: Antimicrob Agents Chemother ISSN: 0066-4804 Impact factor: 5.191